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Registro Completo |
Biblioteca(s): |
Embrapa Agroindústria de Alimentos. |
Data corrente: |
28/06/2013 |
Data da última atualização: |
22/02/2016 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
PINTO, S. C.; LEITÃO, G. G.; CASTELLAR, A.; D'ELIA, D. S.; LAGE, C. L. S.; HENRIQUES, A. B.; FERNANDES, J.; MOTTA, G. S.; BIZZO, H. R.; LEITÃO, S. G. |
Afiliação: |
SHAFT C. PINTO, UFRJ; GILDA G. LEITÃO, UFRJ; ALINE CASTELLAR, UFRJ; DIEGO S. D'ELIA, UFRJ; CELSO L. S. LAGE, UFRJ; ANAÍZE B. HENRIQUES, UFRJ; JANAÍNA FERNANDES, UFRJ; GLÁUCIA S. MOTTA, UFRJ; HUMBERTO RIBEIRO BIZZO, CTAA; SUZANA G. LEITÃO, UFRJ. |
Título: |
Chemical composition of the volatile fractions from wild and in vitro plants of Anemia tomentosa var. anthriscifolia (Pteridophyta). |
Ano de publicação: |
2013 |
Fonte/Imprenta: |
The Journal of Essential Oil Research, v. 25, n. 3, p. 198-202, 2013. |
DOI: |
10.1080/10412905.2012.755477 |
Idioma: |
Inglês |
Conteúdo: |
Anemia tomentosa var. anthriscifolia is a very aromatic fern with ornamental potential. The major constituent of the volatile fraction of this plant is the triquinane sesquiterpene (-)-9-epi-presilphiperfolan-1-ol, which displays in vitro antibacterial activity against Mycobacterium tuberculosis. In order to investigate the chemical composition of this volatile fraction in relation to their triquinane sesquiterpenes upon in vitro multiplication, the tissue culture of this plant was established. Gametophytes and early sporophytes were successfully developed from spores inoculated in MS medium without growth regulators. Volatiles of both in vitro and wild plants were extracted by simultaneous distillation and extraction (SDE) and analyzed by gas chromatography/flame ionization detector (GC/FID) and GC?mass spectrometry (GC/MS). Twenty-seven constituents were evidenced in the volatiles of the wild plant, accounting for 93.4% of its total composition, whereas only seven constituents accounted for 97.0% of the total composition of the volatiles of the in vitro plants, respectively. The volatiles from the in vitro plants were composed mainly of monoterpenes (79%), whereas those of the wild plants comprised mostly sesquiterpenes (97.5%). The major constituents from in vitro plants are α-pinene (20.7%), trans-pinocarveol (31.0%) and pinocarvone (27.3%), whereas the major constituents from wild plants are silphiperfol-6-ene (11.7%), 9-epi-presilphiperfolan-1-ol (31.3%) and presilphiperfolan-8-ol (21.2%). MenosAnemia tomentosa var. anthriscifolia is a very aromatic fern with ornamental potential. The major constituent of the volatile fraction of this plant is the triquinane sesquiterpene (-)-9-epi-presilphiperfolan-1-ol, which displays in vitro antibacterial activity against Mycobacterium tuberculosis. In order to investigate the chemical composition of this volatile fraction in relation to their triquinane sesquiterpenes upon in vitro multiplication, the tissue culture of this plant was established. Gametophytes and early sporophytes were successfully developed from spores inoculated in MS medium without growth regulators. Volatiles of both in vitro and wild plants were extracted by simultaneous distillation and extraction (SDE) and analyzed by gas chromatography/flame ionization detector (GC/FID) and GC?mass spectrometry (GC/MS). Twenty-seven constituents were evidenced in the volatiles of the wild plant, accounting for 93.4% of its total composition, whereas only seven constituents accounted for 97.0% of the total composition of the volatiles of the in vitro plants, respectively. The volatiles from the in vitro plants were composed mainly of monoterpenes (79%), whereas those of the wild plants comprised mostly sesquiterpenes (97.5%). The major constituents from in vitro plants are α-pinene (20.7%), trans-pinocarveol (31.0%) and pinocarvone (27.3%), whereas the major constituents from wild plants are silphiperfol-6-ene (11.7%), 9-epi-presilphiperfolan-1-ol (31.3%) and presi... Mostrar Tudo |
Palavras-Chave: |
Anemia tomentosa var anthriscifolia; Cultura de tecidos; Espectrometria de massas; Sesquiterpenes triquinane. |
Thesagro: |
Cromatografia Gasosa; Samambaia. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
Marc: |
LEADER 02506naa a2200313 a 4500 001 1960864 005 2016-02-22 008 2013 bl uuuu u00u1 u #d 024 7 $a10.1080/10412905.2012.755477$2DOI 100 1 $aPINTO, S. C. 245 $aChemical composition of the volatile fractions from wild and in vitro plants of Anemia tomentosa var. anthriscifolia (Pteridophyta). 260 $c2013 520 $aAnemia tomentosa var. anthriscifolia is a very aromatic fern with ornamental potential. The major constituent of the volatile fraction of this plant is the triquinane sesquiterpene (-)-9-epi-presilphiperfolan-1-ol, which displays in vitro antibacterial activity against Mycobacterium tuberculosis. In order to investigate the chemical composition of this volatile fraction in relation to their triquinane sesquiterpenes upon in vitro multiplication, the tissue culture of this plant was established. Gametophytes and early sporophytes were successfully developed from spores inoculated in MS medium without growth regulators. Volatiles of both in vitro and wild plants were extracted by simultaneous distillation and extraction (SDE) and analyzed by gas chromatography/flame ionization detector (GC/FID) and GC?mass spectrometry (GC/MS). Twenty-seven constituents were evidenced in the volatiles of the wild plant, accounting for 93.4% of its total composition, whereas only seven constituents accounted for 97.0% of the total composition of the volatiles of the in vitro plants, respectively. The volatiles from the in vitro plants were composed mainly of monoterpenes (79%), whereas those of the wild plants comprised mostly sesquiterpenes (97.5%). The major constituents from in vitro plants are α-pinene (20.7%), trans-pinocarveol (31.0%) and pinocarvone (27.3%), whereas the major constituents from wild plants are silphiperfol-6-ene (11.7%), 9-epi-presilphiperfolan-1-ol (31.3%) and presilphiperfolan-8-ol (21.2%). 650 $aCromatografia Gasosa 650 $aSamambaia 653 $aAnemia tomentosa var anthriscifolia 653 $aCultura de tecidos 653 $aEspectrometria de massas 653 $aSesquiterpenes triquinane 700 1 $aLEITÃO, G. G. 700 1 $aCASTELLAR, A. 700 1 $aD'ELIA, D. S. 700 1 $aLAGE, C. L. S. 700 1 $aHENRIQUES, A. B. 700 1 $aFERNANDES, J. 700 1 $aMOTTA, G. S. 700 1 $aBIZZO, H. R. 700 1 $aLEITÃO, S. G. 773 $tThe Journal of Essential Oil Research$gv. 25, n. 3, p. 198-202, 2013.
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| Acesso ao texto completo restrito à biblioteca da Embrapa Arroz e Feijão. Para informações adicionais entre em contato com cnpaf.biblioteca@embrapa.br. |
Registro Completo
Biblioteca(s): |
Embrapa Arroz e Feijão. |
Data corrente: |
25/10/2023 |
Data da última atualização: |
25/10/2023 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 2 |
Autoria: |
COSTA-NETO, G.; MATTA, D. H. da; FERNANDES, I. K.; STONE, L. F.; HEINEMANN, A. B. |
Afiliação: |
GERMANO COSTA-NETO, CORNELL UNIVERSITY, Ithaca-NY; DAVID HENRIQUES DA MATTA, UNIVERSIDADE FEDERAL DE GOIÁS; IGOR KUIVJOGI FERNANDES, UNIVERSIDADE FEDERAL DE GOIÁS; LUIS FERNANDO STONE, CNPAF; ALEXANDRE BRYAN HEINEMANN, CNPAF. |
Título: |
Environmental clusters defining breeding zones for tropical irrigated rice in Brazil. |
Ano de publicação: |
2023 |
Fonte/Imprenta: |
Agronomy Journal, 2023. |
ISSN: |
1435-0645 |
DOI: |
https://doi.org/10.1002/agj2.21481 |
Idioma: |
Inglês |
Notas: |
Early view. |
Conteúdo: |
Geographic and seasonal effects are important in driving selection decisions in rice breeding research. Adopting new strategies for characterizing environmental?phenotype associations is critical to understanding these effects, and the outcomes of their study could reflect the benefits of developing locally adapted cultivars. This study aimed to characterize Brazil's tropical irrigated rice (IR) environment, Latin America's largest rice production system. We integrated unsupervised (K-means clustering) and supervised (decision tree classifier) algorithms to identify environmental clusters (EC) based on historical yield data. The data set included 31 locations and 471 genotypes from 1982 to 2017. We used environmental features (EF), such as weather and geography, as input variables for our analysis, assuming the model as EC ∼ f (EF). Results indicate that the tropical IR production region can be divided into four primary breeding zones, with temperature emerging as a significant factor in the study area. After employing a linear mixed model analysis, we observed that the current relationship between genetics (G), environmental variation (E), and their interaction (G×E) in Brazil's tropical IR has a 1:6:2 ratio. However, when introducing our data-driven model based on EC, we reduced this ratio to 1:5:1. Therefore, the selection for local adaptability across a large region became more reliable. Our approach successfully identified EC in Brazil's tropical production region of IR, providing valuable insights for defining breeding zones and identifying more productive and stable seed production fields. MenosGeographic and seasonal effects are important in driving selection decisions in rice breeding research. Adopting new strategies for characterizing environmental?phenotype associations is critical to understanding these effects, and the outcomes of their study could reflect the benefits of developing locally adapted cultivars. This study aimed to characterize Brazil's tropical irrigated rice (IR) environment, Latin America's largest rice production system. We integrated unsupervised (K-means clustering) and supervised (decision tree classifier) algorithms to identify environmental clusters (EC) based on historical yield data. The data set included 31 locations and 471 genotypes from 1982 to 2017. We used environmental features (EF), such as weather and geography, as input variables for our analysis, assuming the model as EC ∼ f (EF). Results indicate that the tropical IR production region can be divided into four primary breeding zones, with temperature emerging as a significant factor in the study area. After employing a linear mixed model analysis, we observed that the current relationship between genetics (G), environmental variation (E), and their interaction (G×E) in Brazil's tropical IR has a 1:6:2 ratio. However, when introducing our data-driven model based on EC, we reduced this ratio to 1:5:1. Therefore, the selection for local adaptability across a large region became more reliable. Our approach successfully identified EC in Brazil's tropical production region... Mostrar Tudo |
Thesagro: |
Arroz Irrigado; Genótipo; Meio Ambiente; Melhoramento Genético Vegetal; Oryza Sativa; Sistema de Produção. |
Thesaurus NAL: |
Breeding; Climate models; Environmental factors; Genotype; Genotype-environment interaction; Rice; Tropical agriculture. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
Marc: |
LEADER 02650naa a2200361 a 4500 001 2157493 005 2023-10-25 008 2023 bl uuuu u00u1 u #d 022 $a1435-0645 024 7 $ahttps://doi.org/10.1002/agj2.21481$2DOI 100 1 $aCOSTA-NETO, G. 245 $aEnvironmental clusters defining breeding zones for tropical irrigated rice in Brazil.$h[electronic resource] 260 $c2023 500 $aEarly view. 520 $aGeographic and seasonal effects are important in driving selection decisions in rice breeding research. Adopting new strategies for characterizing environmental?phenotype associations is critical to understanding these effects, and the outcomes of their study could reflect the benefits of developing locally adapted cultivars. This study aimed to characterize Brazil's tropical irrigated rice (IR) environment, Latin America's largest rice production system. We integrated unsupervised (K-means clustering) and supervised (decision tree classifier) algorithms to identify environmental clusters (EC) based on historical yield data. The data set included 31 locations and 471 genotypes from 1982 to 2017. We used environmental features (EF), such as weather and geography, as input variables for our analysis, assuming the model as EC ∼ f (EF). Results indicate that the tropical IR production region can be divided into four primary breeding zones, with temperature emerging as a significant factor in the study area. After employing a linear mixed model analysis, we observed that the current relationship between genetics (G), environmental variation (E), and their interaction (G×E) in Brazil's tropical IR has a 1:6:2 ratio. However, when introducing our data-driven model based on EC, we reduced this ratio to 1:5:1. Therefore, the selection for local adaptability across a large region became more reliable. Our approach successfully identified EC in Brazil's tropical production region of IR, providing valuable insights for defining breeding zones and identifying more productive and stable seed production fields. 650 $aBreeding 650 $aClimate models 650 $aEnvironmental factors 650 $aGenotype 650 $aGenotype-environment interaction 650 $aRice 650 $aTropical agriculture 650 $aArroz Irrigado 650 $aGenótipo 650 $aMeio Ambiente 650 $aMelhoramento Genético Vegetal 650 $aOryza Sativa 650 $aSistema de Produção 700 1 $aMATTA, D. H. da 700 1 $aFERNANDES, I. K. 700 1 $aSTONE, L. F. 700 1 $aHEINEMANN, A. B. 773 $tAgronomy Journal, 2023.
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